Dell Inc. Latitude 3450
Geekbench AI Score
2474
Single Precision Score
4418
Half Precision Score
1773
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 01:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 3450 |
| Motherboard | Dell Inc. 01J2W2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
2835
527.3 IPS |
|
|
Image Classification (Q)
|
100% |
1164
216.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1067
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5752
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
9778
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
4859
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
99% |
3102
246.7 IPS |
|
|
Object Detection (Q)
|
86% |
1115
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (Q)
|
97% |
1527
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4809
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11254
87.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
3758
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20099
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33764
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13904
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3473
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6226
229.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1984
73.4 IPS |
|
|
Text Classification (SP)
|
86% |
699
945.2 IPS |
|
|
Text Classification (HP)
|
99% |
636
849.5 IPS |
|
|
Text Classification (Q)
|
84% |
480
651.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (Q)
|
70% |
602
11.3 IPS |
